Top Software Engineer Jobs in Santa Cruz, CA

Own and scale the PostgreSQL and AWS Aurora database layer for a high-volume legal-services platform. Responsibilities include schema and migration review, query and index tuning, production issue diagnosis, lock and replication troubleshooting, database maintenance automation, backup and restore support, access control, and collaboration with infrastructure, software development, and data science teams. The role also supports reporting, billing, PII-sensitive data, and ERP-related data flows.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Provides executive leadership for software engineering across regulated clinical, patient-facing, platform, and device-integrated systems. Oversees delivery, scalability, quality, compliance, engineering operations, CI/CD modernization, AI-assisted development, and organizational growth. Leads engineering executives and partners cross-functionally across product, clinical, regulatory, quality, security, machine learning, and IT. Requires extensive leadership of Software as a Medical Device products through development, validation, regulatory approval, commercialization, and post-market support.

Design, develop, test, and deliver enterprise applications, APIs, services, integrations, and web applications. Own projects from architecture and technical design through production release and handoff. Troubleshoot complex issues across applications, databases, integrations, and cloud environments; contribute to architecture, code reviews, testing, CI/CD, documentation, and production support. Partner with Product, QA, Architecture, and engineering teams to deliver scalable, secure, maintainable solutions.

Own post-launch bugs, production issues, and enhancements for AI agents and related products. Investigate root causes across logs, code, conversation data, APIs, authentication, telephony, and integrations; implement and test fixes; support customers directly; guide frontline Support Engineers; and build internal tools that improve investigation and resolution speed.

Design, build, and ship full-stack monetization features spanning payments, subscriptions, checkout, entitlements, reconciliation, and payouts. Integrate payment providers and third-party APIs while ensuring idempotency, retry handling, webhook reliability, and graceful degradation. Instrument features to improve conversion and payment recovery, collaborate with product, design, finance, and partnerships, and mentor engineers while using AI-assisted development.

Leads a hands-on software engineering organization developing AI-enabled legal automation platforms. Responsibilities include setting technical direction, reviewing architecture and code, owning delivery and platform reliability, managing distributed teams, translating legal workflow requirements into scalable systems, and partnering with product, legal operations, executives, vendors, and clients. The role requires oversight of multi-tenant security, AI capabilities, Agile delivery, hiring, mentoring, and engineering quality.

Lead end-to-end development of modern frontend initiatives using React and Electron. Design scalable architecture, improve performance and test coverage, resolve production issues, influence technical decisions, and collaborate with Product, Design, and Backend teams. The role includes mentoring engineers, maintaining code quality, supporting observability and incident response, and building secure, high-quality customer-facing payment and form workflows.

Executive technology leader responsible for strategy, modernization, and operations across a global fintech SaaS portfolio. Oversees software engineering, QA, DevOps, cloud operations, security, customer engineering, and technology partnerships. Leads AI adoption, platform consolidation, cloud optimization, compliance, reliability, customer implementation, budgeting, vendor management, and organizational transformation across complex, regulated products.

Own production bugs, escalations, and enhancements for AI agent products. Investigate issues across logs, code, conversation data, telephony, integrations, authentication, APIs, and LLM prompting; implement, test, and ship fixes. Support customers directly, coordinate testing, guide frontline support engineers, build internal investigation tools, and relay feedback to Product while meeting SLAs.